Efficient production of cynomolgus monkeys with a toolbox of enhanced assisted reproductive technologies
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Feng_Efficient production.pdf
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Author(s)
Ma, Yunhan
Li, Jiayu
Wang, Ge
Ke, Qiong
Qiu, Sien
Gao, Liang
Wan, Haifeng
Zhou, Yang
Xiang, Andy Peng
Huang, Qunshan
Date Issued
May 2016
Journal
Scientific Reports
Publisher
Springer Nature
Citation
Ma, Yunhan, Jiayu Li, Ge Wang, Qiong Ke, Sien Qiu, Liang Gao, Haifeng Wan, et al. “Efficient Production of Cynomolgus Monkeys with a Toolbox of Enhanced Assisted Reproductive Technologies.” Scientific Reports 6 (May 13, 2016): 25888.
Version
Final published version
Abstract
The efficiency of assisted reproductive technologies (ARTs) in nonhuman primates is low due to no screening criterions for selecting sperm, oocyte, and embryo as well as its surrogate mothers. Here we analyzed 15 pairs of pregnant and non-pregnant cynomolgus monkeys, each pair of which received embryos from one batch of fertilized oocytes, and found ratio of endometrial to myometrial thicknesses in abdominal ultrasonic transverse section of uterus is a reliable indicator for selection of recipients for embryo transfer. We performed 305 ovarian stimulations in 128 female cynomolgus monkeys and found that ovarian stimulation can be performed in a whole year and repeated up to six times in the same monkey without deteriorating fertilization potential of eggs until a poor response to stimulation happened. Fertilization can be efficiently achieved with both conventional and piezo-driven intracytoplasmic sperm injection procedures. In semen collection, semen quality is higher with the penile robe electrical stimulus method compared with the rectal probe method. Moreover, caesarean section is an effective strategy for increasing baby survival rates of multiple pregnancies. These findings provide a practical guidance for the efficient use of ARTs, facilitating their use in genetic engineering of macaque monkeys for basic and translational neuroscience research.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
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Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.1038/srep25888
